Origin-destination trip table estimation based on subarea network OD flow and vehicle trajectory data
Identifying accurate origin-destination (O-D) travel demand is one of the most important and challenging tasks in the transportation planning field. Recently, a wide range of traffic data has been made available. This paper proposes an O-D estimation model using multiple field data. This study takes advantage of emerging technologies – car navigation systems, highway toll collecting systems and link traffic counts – to determine O-D demand. The proposed method is unique since these multiple data are combined to improve the accuracy of O-D estimation for an entire network. The authors tested their model on a sample network and found great potential for using multiple data as a means of O-D estimation. The errors of a single input data source do not critically affect the model’s overall accuracy, meaning that combining multiple data provides resilience to these errors. It is suggested that the model is a feasible means for more reliable O-D estimation.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/oclc/1767712
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Supplemental Notes:
- © 2018 Informa UK Limited, trading as Taylor & Francis Group. Abstract reprinted with permission of Taylor & Francis.
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Authors:
- Kim, Hyunmyung
- Nam, Daisik
- Suh, Wonho
- Cheon, Seung Hoon
- Publication Date: 2018-4
Language
- English
Media Info
- Media Type: Web
- Pagination: pp 265-285
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Serial:
- Transportation Planning and Technology
- Volume: 41
- Issue Number: 3
- Publisher: Taylor & Francis
- ISSN: 0308-1060
- Serial URL: https://www.tandfonline.com/toc/gtpt20/current
Subject/Index Terms
- TRT Terms: Data analysis; Origin and destination; Traffic data; Travel demand
- Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting;
Filing Info
- Accession Number: 01670212
- Record Type: Publication
- Files: TRIS
- Created Date: May 24 2018 5:21PM